Implementing Learning Analytics to Foster a STEM Learning Ecosystem at the City-Level: Emerging Research and Design Challenges
Item
- Title
- Implementing Learning Analytics to Foster a STEM Learning Ecosystem at the City-Level: Emerging Research and Design Challenges
- Abstract/Description
- To address the goal of increasing and broadening participation of youth in STEM fields, a learning ecosystem approach is a promising strategy. Learning analytics can play an important role in such efforts which aim to build learning supports across the diverse spaces in which learning and development occurs, including informal, formal, and online contexts. This paper introduces a city-level learning analytics implementation effort in a developing STEM ecosystem in one mid-sized city. We describe aspects of our design and research approach and challenges that emerge by taking a learning ecosystem perspective of learning and development.
- Author/creator
- Nacu, Denise
- Upadhyay, Pooja
- Skorepa, Evan
- Everette, Tre
- Flores, Evelyn
- Jackson, Mighel
- Pinkard, Nichole D.
- Date
- In publication
- Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale
- Series
- L@S '19
- Pages
- 1–4
- Publisher
- Association for Computing Machinery
- Resource type
- en Research/Scholarly Media
- Resource status/form
- en Published Text
- Scholarship genre
- en Reflection/Retrospective
- Keywords
- broadening participation
- human-centered design
- learning analytics
- learning ecosystems
- STEM learning
- IRE Approach/Concept
- Learning Analytics
- Open access/full-text available
- en Yes
- Peer reviewed
- en Yes
- ISBN
- 978-1-4503-6804-9
- URL
- Official Publisher's Webpage (ACM Digital Library)
- Full-text PDF Shared by Author (ResearchGate)
- Citation
- Nacu, D., Upadhyay, P., Skorepa, E., Everette, T., Flores, E., Jackson, M., & Pinkard, N. (2019). Implementing Learning Analytics to Foster a STEM Learning Ecosystem at the City-Level: Emerging Research and Design Challenges. Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale, 1–4. https://doi.org/10.1145/3330430.3333651
- Cited in
- The Work of Improvement
- Place
- New York, NY, USA
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